Skip to main content

Potential for high toxicity of polystyrene nanoplastics to the European Daphnia longispina



Current regulatory discussions about microplastics are often questioned based on a lack of data indicating high ecotoxic hazards of these particles within standard and recognized definitions. Moreover, there is scientific debate on what metrics to report the micro-nanoplastics toxicity (i.e. mass or particle counts-based exposure). We present here the high potential sensitivity of three genotypically different clones of the European Daphnia longispina species complex exposed to non-functionalized polystyrene nanobeads of 50 nm and 100 nm in diameter according to adapted OECD 202 test protocol.


EC50s 48 h varied from 0.2 to 8.9 mg L−1 (mean 2.49 mg L−1) for 50 nm beads, and from 32.7 to 90.3 mg L−1 (mean 59.39 mg L1) for the 100 nm. EC10s 48 h varied from 0.0007 to 7.5 mg L−1 (mean 0.28 mg L−1) for 50 nm beads, and from 25.5 to 69.1 mg L−1 (mean 47.51 mg L−1) for the 100 nm. Inter-clonal variability was about tenfold. Therefore, several 1000 s-fold variations in mass-based ecotoxicity for these polystyrene beads was observed if particle size and Daphnia genotype are considered jointly.


Such ecotoxicity potential is comparable to highly toxic chemicals in global and EU-based regulatory classification and labelling. Ecotoxicity based on particle counts suggested convergence of EC50s, with effects generally observed around 1011 to1015 particles L−1. The present results highlight the potential high hazard of these particles and the relevance of particle size and exposure metrics on hazard conclusion.

Graphical Abstract


Microplastics (< 5 mm) are suggested emerging threat to marine [11], freshwater [17, 35] and terrestrial organisms [8, 35]. This concern triggered discussions on the need for regulation of the use of these anthropogenic particles. Nevertheless, standard ecotoxicological data supporting high hazard conclusions is not abundant for the smallest fraction of plastic particles–nanoplastics. The precise definition of nanoplastics is under debate, 1000 nm size cut-off was suggested [15]. Such size limit not compatible with the more general definition of nanomaterial or nano-objects under ISO’s ISO/TR 80004:2015 (nanomaterial having any external dimension in approximately 1–100 nm length range) or EU regulatory definition of nanomaterial in Recommendation 2011/696/EU (DG Environment). Therefore, a 100 nm cut-off is employed here to distinguish between microplastics and nanoplastics.

Nanoplastics are distinguished from microplastics not only related to their size, but substantial changes in many other properties also follow the decrease in size [8], which affect their potential effects on biota [12]. Conflicting results on hazard across various authors raised questions on the ecological accuracy of toxicity endpoints. The fundamental ecotoxicological relevance and precision of the traditional exposure metrics (particle number counts or mass-based effect concentrations) when assessing the hazard have not been resolved [9]. Some studies report toxicity in mass-based [25] others in particle number-based exposure [11, 17, 26]. Therefore, lack of hazard data and questions on the exposure metrics and intra-species variability contribute to criticism [6] on proposed regulatory action by authorities.

Most of the available evidence regarding the ecotoxicity of micro- and nanoplastics suggest low environmental hazard potential within regulatory definitions (i.e. NOECs and EC50s above 1–10 mg L−1). Values of effect concentrations to 50% of the population (EC50s) for micro- and nanoplastics on mortality and immobilisation in keystone species cladoceran waterflea Daphnia magna reported in the literature are variable [38]. Recent hierarchical probabilistic assessments suggest that a threshold of predicted no observed effect in freshwater would be around 0.166 mg L−1 [38] and 0.1 mg L−1 [42]. These values place plastic particles within materials with arguably low hazard potential, which could change if EC50s lower than 1 mg L−1 are reported.

In the present study, we exposed three different morpho-physiological Daphnia genotypes to two sizes of polystyrene beads of 100 nm and 50 nm of nominal diameter. These particles are respectively at or below the limit commonly established between microplastics and nanoplastics (i.e. ≤ 100 nm, or ≤ 1000 nm, see above). The model organism is Daphnia longispina species complex, one of the most common zooplankton members of permanent water bodies in the northern hemisphere [19, 21, 30]. In majority of previous micro- and nanoplastics studies on the genus Daphnia, the standard ecotoxicological model species was employed—Daphnia magna [3]. In contrast to lake species D. longispina, D. magna inhabits small and fishless habitats and, as a relatively large species, is generally less sensitive to contaminants than small-bodied species, such as D. longispina [13, 33]. Thus, the present findings shed light into the hazard properties of small polystyrene beads to this keystone species to lake ecosystems (being main grazer of phytoplankton and main food item for fish). Moreover, by testing multiple genotypes, we provide insights into the potential precision of ecotoxicological metrics performed on single genotypes of tested species.


Nanoplastic particles

The nanoplastic particles used were polystyrene nanospheres of 100 nm and 50 nm in nominal diameter (hereafter referred as “100” and “50”). These nanobeads were labelled with red fluorescein isothiocyanate dye (Micromod Partikeltechnologie GmbH; product code: 30-00-501; product name: water suspension micromer®-redF). For detailed characterization of 100 nm particles, in terms of their morphology, hydrodynamic size, and electro-kinetic potential, see Schampera et al. [35].

Test organisms

Three Daphnia genotypes (hereafter referred to as “clones”) of Daphnia longispina species complex were used in this experiment: Amme_12, Amme_3, and Amme_51, selected from a wider collection of clones isolated from a natural lake in Germany (Ammersee, 11°10′E, 48°N), in 2008. These clones belong to D. galeata × longispina F1-hybrids and were previously tested in various experimental surveys [14, 22,23,24]. The clones have been raised in a laboratory in synthetic medium [33] at 20 ± 2C, 16–8 light–dark photoperiod, and fed three times a week with green algae (Acutodesmus obliquus). Daphnia were age-synchronized and maintained for two generations under following conditions: five adult Daphnia per glass jar containing 200 mL of synthetic medium, fed daily with > 1 mg L−1 C of A. obliquus (30–40 jars were set up per clone). Neonates of the second-fourth clutch (born within < 24 h) were kept in their original media for 5 days (while all adult Daphnia were removed) and these Daphnia were then used to start the experiment with.

Experimental design

The range finding experiment was performed with an adult mix of the three clones using five exposure concentrations between 0.001 and 500 mg L−1 and a control group, following protocol from OECD 202 [28]. From this range finding it was determined that adult EC50 48 h for this Daphnia was generally below 100 mg L−1; and probably contained between 0.1 and 100 mg L−1 for exposures of ≤ 96 h. Therefore, seven concentrations per particle size for the current experiment: 0.01, 0.10, 1.00, 2.00, 10.00, 20.00 and 100.00 mg L−1, plus the control (no nanoplastics added) were considered for juvenile exposures. Exposure media consisted of 25 mL of culture media at the appropriate nominal nanoplastic concentration prepared 48 h before the experiment to allow chemical equilibrium between the media ions and nanoplastic surfaces [29].

The 5 day-old juvenile Daphnia of each of the three different clones were exposed separately to either one of the two sizes of nanoplastics, at seven exposure concentrations plus control without nanoplastic addition, in five replicates; resulting in 225 experimental units. Each experimental unit consisted of 5 individual Daphnia. We used juveniles and not neonates (as otherwise suggested in the OECD guidelines) because the guidelines were developed for D. magna, which is a bigger and generally more robust species. Using the neonates for setting up this experiment could have resulted in some random loss of replicates due to handling error.

Assessment of nanoplastic exposure concentration

The nominal exposure concentrations were confirmed using fluorescence measured in extra vials without Daphnia (5 replicates per test concentration), at the beginning (T0 h) and at the end of the experiment (T96 h) (quantification limit = 1 mg L−1). From each vial, 1.5 mL was transferred to an Eppendorf tube at T0 h and T 96 h, and stored in the fridge at 4 °C until measurements. The fluorescence emission intensity was assessed using a Tecan 340 fluorescence multi-well plate reader, excitation 552 nm and emission 580 nm. At beginning of the exposure (T0 h, Fig. 1A) there was an exponential increase of the fluorescence related to increase of nominal levels. After 96 h exposure fluorescence in the suspended media dropped significantly proportional to the exposure concentration (p = 0.0094), to c.a. 17% and 56% of T0 h for 100 nm and 50 nm, respectively (Fig. 1B). Given the change in exposure concentrations, only nominal concentrations are referred hereafter. It would not be scientifically defensible to conclude that aggregation and removal from water column yielded the nanoplastics not bioavailable, as we could clearly observe Daphnia interacting with them on the bottom of the vials. Nevertheless, the nominal-based EC values are conservative and probably underestimate toxicity given the potential decrease exposure concentration over time.

Fig. 1
figure 1

Relationship between suspended fluorescence and mass of polystyrene particles in exposure media. A: The increase in fluorescence for both particles was similar to standard dilution at T0 h. B: After 96 h of experiment the fluorescence in suspension at exposure media at 100 mg L−1 dropped to c.a. 17% and 56% of T0 h for 100 nm and 50 nm, respectively. Points represent average of 5 replicates, dashed lines represent regression lines, and in 1A shadow area represents standard error of regression

Experimental procedures

Test Daphnia were transferred to the 225 experimental vials with glass pipettes. Experimental units consisted of 5 individual Daphnia and all additional procedures followed OECD 202 guideline [28]. Experimental vials were assigned random numbers and relabelled to ensure blind assessment. The number of the immobilized Daphnia in each vial was recorded every 24 h during 96 h; at each check dead Daphnia were removed. Mortality is not a standard endpoint as per OECD 202 and therefore mortality counts are reported only in Additional file and materials (found at No food was added throughout the experiment, which was terminated after 96 h. Controls had an average < 10% immobilization, meeting the test validity criteria of 20% (Fig. 2).

Fig. 2
figure 2

Effects of plain polystyrene beads on the mobility of three clonal morpho-physiological types of Daphnia longispina species complex. Panels A, C, and F refer to dose–response curves after exposure from 24 to 96 h to 50 nm beads whereas panels B, D, and E display data for exposure to 100 nm beads during the same period. Within each panel, light blue unfilled circles represent measured points at 24 h, whereas light blue dotted-dashed lines represent 24 h regression. Likewise, the dark blue filled circles (with dotted lines), black triangle (with dashed lines), and black squares (with continuous lines) represent measured values and regression lines for respectively 48 h, 72 h, and 96 h

Data analysis

All analyses were performed in R [39], and the scripts for computation of statistics, specific data handling details, and plotting all figures from this manuscript are available in the supporting information linked to this article in the private website of the first author ( Dose-responses were computed using drc library [37] with the drm function for LL3 modelling mobility as binomially-distributed response as function of concentration and time. The related EC50s and confidence interval were obtained with ED function (interval = delta). The traditional EC50 (i.e. mass-based in mg L−1) were converted to other particle metrics, i.e. plastic volume and particle numbers. We computed the total volume of plastic based on the mass and PS density. This total volume was then divided by the volume of a single particle, to obtain an estimation of particle numbers, which was used to obtain total area of particle exposure.

The relationship of computed EC50s over time for the three clones and two particle sizes were modelled with the “lm” function (Team, 2022) following formula below:

$${EC}_{50}= 0+I\left(\frac{1}{time}\right)+I\left(\frac{time-1}{time}\right)*Clone*Particle\,Size$$

This equation has the implicit assumptions that (i) there is an inherent relationship between EC50 and time, (ii) part of the relationship can be explained by clone and particle size. Graphs we plotted with base R + drc plots or with libraries ggplot [40] and cowplot [41].


All three Daphnia clones were significantly affected by the two polystyrene particles tested here. The clones Amme_12 and Amme_3 presented similar sensitivity to nanoplastic exposure (Fig. 2A–D). The clone Amme_51 presented c.a. 40-fold higher sensitivity for the 50 nm polystyrene nanobeads compared to other clones (Fig. 2E). For the particles with 100 nm Amme_51 displayed a ~ 2.3-fold increase in toxicity (Fig. 2F). This clone seemed to present some non-monotonicity in the response, with less optimal fit of LL3 models compared to the other two counterparts.

As EC10 are the values often used in risk assessments in regulatory contexts, these values are presented in Table 1. Geometric mean is the metric used to compute species specific average sensitivity when multiple data points are available. Geometric means for toxicity of beads of 50 and 100 nm yield values respectively of 2.49 and 59.39 mg L−1 for EC50s 48 h and 0.28 and 47.51 mg L−1for EC10s 48 h.

Table 1 Effect concentrations to the 10th percentile after 48 h- exposure considering nanoplastic in terms of mass, particle number, or particle surface. Values presented are average and standard error of estimate

Generally, effects were observed when particle counts were above 1015 L−1. The dynamics of EC50s during the 96 h-exposure is presented in Fig. 3.

Fig. 3
figure 3

Temporal dynamics of effects concentration to 50th percentile of Daphnia longispina species complex morpho-physiologically distinct clones. Panels display EC50s based on polystyrene beads mass A, particle numbers B, and particle area C. EC50 presented here were extracted from dose–response (see Table 1 for statistical significance)


The current study demonstrates the potential acute toxicity of non-functionalized nano- polystyrene beads to three different clones of Daphnia longispina species complex. If ecotoxicity global harmonized hazard identification system (GHS) or classification and labelling of products (CLP) would be applied to these particles, the 50 nm beads would qualify to very toxic to the aquatic environment (GHS and CLP acute ecotoxicity class 1, EC50 below 1 mg L−1), while the 100 nm beads would be considered less toxic (GHS acute aquatic  toxic class 2, EC10 between < 10 mg L−1). However, it is worth to mention that GHS [27], CLP [7], and OECD Tests were designed to address intrinsic toxicity of dissolved chemicals. Later adaptations of those protocols for testing of nanoparticles can be conservative for hazard identification and are to be methodologically considered and interpreted on a case-by-case [29]. When performing tests with nanoplastic suspensions one should also consider that the potential additives contained in commercial dispersions of polystyrene can be an additional cause of toxicity (Brehm et al. [2], Heinlaan et al. [16]). We believe to have minimized this during our experiments as confirmation by the supplier was provided that the product was a water suspension free of any preservatives, and major component left on the suspension was expected to be SO4 used during final manufacturing steps. A non-target analysis of potential unintended compounds was beyond the scope of this study, however. In fact, the effect concentrations reported here may be underestimated compared to actual exposure likely being lower than nominal concentration (Fig. 1). There is some evidence that fluorescent-labelled nanoplastics can leach their fluorophores (Catarino et al. [4]) also adding to toxicity, which cannot be fully excluded in this study. Notwithstanding, the current results place 50 nm polystyrene beads amongst the most acutely ecotoxicity category of materials in global and European chemicals regulatory frameworks.

Those particles were not dissolved and it is unclear whether the observed effects could be attributable to intrinsic ecotoxicity in a traditional sense. Thus, the next paragraphs explore three main insights from this experiment under the lenses of elementary ecotoxicological principles.

Variability across Daphnia clones

The sensitivity across clones varied c.a. tenfold or more between Amme_51 and Amme_3 within a given exposure-time. Such intra-specific variability in sensitivity is compatible with previous studies that have investigated (dissolved) chemical ecotoxicity and inter-clonal variation in D. magna. For instance, Barata et al. [1] found that differences in cadmium tolerance among D. magna clones within populations were up to tenfold, while variations among genetically distinct populations in nature could be even greater. Also in previous experiments we observed clonal differences for the tested here set of Ammersee clones; for example, clone Amme_51 was more susceptible to parasitic infection than clone Amme_12 [22], which is consistent with the observed here higher sensitivity of this Amme_51 clone to the nanoplastic exposure.

Intraspecies variability of ecotoxicological responses within Daphnia after nanoplastic exposure has not been investigated thus far. However, three studies included multiple Daphnia clones in their assessments of toxicity of larger plastic particles (microplastics), showing that these responses are genetically variable [5, 18], even within a single population [32]. Specifically, there was a high inter-clonal variation across the exposed multiple D. magna clones: in gene and protein expression [18], in fecundity and growth rates [5] and in life-history and immune responses [32]. There is conclusive evidence of the genetic distance amongst the morphologically and eco-physiological diverse D. longispina species complex clones studied here (i.e. Amme_12, Amme_3, Amme_51) [14]. Thus, genetic variation in responses to plastic particle exposure helps to explain some of the contradictory results among Daphnia studies based on single genotypes reviewed in [34]). This clone-specific nature of Daphnia responses to nanoplastics demonstrates that there might be potential for evolutionary selection and adaptations of populations in contaminated sites. These results strongly support incorporating genetic variation into assessments of the impact of plastic particle exposure.

A twofold decrease in particle size associated to up to 100 s-fold increase in toxicity

The decrease in size of plastic particles can be accompanied by increase in reactivity and occurrence of chemical-like effects [8]. In the present study, the decrease in particle diameter from 100 to 50 nm represented an approximately ~ 100-fold increase in toxicity for the clone Amme_51, and a typical ~ tenfold increase in toxicity for Amme_3 and Amme_12 in EC50s. In fact, reported differences across particle sizes and clones in EC50s are about more than 450-fold [18, 31, 36, 38]. Kögel et al. reviewed that the evidence points towards the tendency of more negative impact by smaller plastic particles compared to larger ones, from the nm to triple-digit μm size range [20]. Adjusting the exposure amount for the different conditions of the size comparisons by mass by most of the existing studies, leads to three orders of magnitude higher particle numbers for each order of magnitude smaller particle diameter [20].

The higher ecotoxicity of smaller particles reported here may be jointly explained by a (i) higher bioavailability and a (ii) higher particle toxicity. The first because 100 nm beads were ~ threefold more prone than 50 nm beads to precipitate out of solution (Fig. 1), yet 100 nm beads were bioavailable (Fig. 4), which is demonstrated by high ingestion rates observed elsewhere [31]. The mild difference in bioavailability of different particle sizes is unlikely to explain alone the much larger differences in sensitivity between the two particle sizes. Moreover, the shape and slopes of dose–response curves observed here within and across exposure times confirms higher toxicity to smaller particles. The observed ecotoxicity of smaller polystyrene beads was seven orders of magnitude higher if EC10s are used as toxicity metric, which suggests a disproportionally stronger potential for chronic ecotoxicity of smaller plastics.

Fig. 4
figure 4

Daphnia longispina 48 h-exposed to red-fluorescent dyed 100 nm polystyrene beads at 10 mg L−1 quickly displayed digestive tracks full of the nanobeads as evidence of biophysical bioavailability

Altogether, the current results support than several 1000 s-fold difference on sensitivity to a particles of a same polymer matrix and chemistry can be expected across studies with the same species when intra-clonal and particle size variability are not addressed.

Considering exposure to plastic mass or particle number

The patterns above-discussed are evident if the exposure metric to determine effect concentrations is mass-based, which is the default metric for hazard identification of materials in ecotoxicology [27, 28]. Nevertheless, most environmental reports of microplastic contamination are based on particle numbers (counts) [10, 17]. Therefore, there are questions on whether exposure to plastic mass, particle number, or other metrics of exposure are ecotoxicological relevant variables for the assessment of micro-nanoplastic effects.

If exposure of Daphnia is measured in terms of particle numbers it cannot be consistently asserted whether 100 nm particles are indeed less toxic than 50 nm for all clones (Fig. 3B). In fact, for clones Amme_12 and Amme_3 no significant difference could be observed between 50 nm or 100 nm beads. This suggests similar potency of these individual particles in triggering toxicity for both clones, with ≈ 1015 particles L−1 as the levels for ecotoxicological effects. Nevertheless, less particles of 50 nm beads were required to trigger similar effects on Amme_51 comparted to the 100 nm beads. Despite significant, at the same scale, the difference in Amme_51 sensitivity to the two particle sizes considering particle number-based effect concentration (104- fold) is smaller than the difference considering mass-based effect concentrations (106- fold). That suggests that normalization of exposure by particle number provides some explanatory power of the particle toxicity, but mass-based inference is still relevant. Such results are coherent to the review of Kögel et al., which did not conclude whether the size or the sheer particle number has the largest impact on the effect [20].

Particles with the same shape were investigated here. Therefore, limited insights can be obtained for some other potentially relevant metrics for micro-nanoparticle as they are redundant to ECmass-based or ECparticle number-based. For instance, particle volume is linearly related to particle mass. Similarly, particle surface area co-varies with the product of particle mass, diameter and particle numbers. Further studies with particles of varying shape would be needed to elucidate the relationship amongst these exposure metrics.

Thus, the current results provide evidence that there may be a physical-like component of the micro-nano particle toxicity that can be explained by normalizing exposure values by counts of single particle numbers.


In summary, we demonstrated a high potential acute toxicity of nano- polystyrene beads to three different clones of D. longispina species complex that could comparatively place the 50 nm beads amongst the most acutely ecotoxic regulatory classification of materials. We also provided further relevant considerations were made from a fundamental ecotoxicological perspective. The intra-specific variability observed here for the same particle was about tenfold, which is the range observed in intrinsic ecotoxicity assays. However, such difference in toxicity is about 1000 s-fold when particle size and eco-physiologically different clones are jointly considered. Smaller particles were more toxic in this study (i.e., constant shape and chemical composition). Exposure considering particle numbers were relevant descriptors of potentially physical effects; however, mass-based effect concentrations provided additional insights.

Availability of data and materials

All the experimental results discussed here are freely available as supporting information or upon reauest in the website of Interested readers may download the data (csv) as well as R commands used for statistical analysis.


  1. Barata C, Baird DJ, Markich SJ (1998) Influence of genetic and environmental factors on the tolerance of Daphnia magna straus to essential and non-essential metals. Aquatic Toxicol 42(2):115–137.

    Article  CAS  Google Scholar 

  2. Brehm J, Wilde MV, Reiche L, Leitner LC, Petran B, Meinhart M (2022) In-depth characterization revealed polymer type and chemical content specific effects of microplastic on Dreissena bugensis, J Hazard Mater 437, 129351

  3. Brehm J, Ritschar S, Laforsch C, Mair MM (2023) The complexity of micro-and nanoplastic research in the genus Daphnia—a systematic review of study variability and meta-analysis of immobilization rates. biorxiv.

    Article  Google Scholar 

  4. Catarino AI, Frutos A, Henry TB (2019) Use of fluorescent-labelled nanoplastics (NPs) to demonstrate NP absorption is inconclusive without adequate controls. Sci Total Environ. Jun 20;670:915–920. Epub 2019 Mar 18. PMID: 30921723

  5. Chang M, Zhang C, Li M, Dong J, Li C, Liu J, Verheyen J, Stoks R (2022) Warming, temperature fluctuations and thermal evolution change the effects of microplastics at an environmentally relevant concentration. Environ Pollut 292:118363.

    Article  CAS  Google Scholar 

  6. Connors KA, Dyer SD, Belanger SE (2017) Advancing the quality of environmental microplastic research. Environ Toxicol Chem 36(7):1697–1703.

    Article  CAS  Google Scholar 

  7. Counci, E. P. a. o. t. (2008). Regulation (EC) No 1272/2008 of the European Parliament and of the Council of 16 December 2008 on classification labelling and packaging of substances and mixtures, amending and repealing Directives 67/548/EEC and 1999/45/EC, and amending Regulation (EC) No 1907/2006 (Text with EEA relevance).

  8. de Souza Machado AA, Kloas W, Zarfl C, Hempel S, Rillig MC (2018) Microplastics as an emerging threat to terrestrial ecosystems. Glob Change Biol 24(4):1405–1416.

    Article  Google Scholar 

  9. de Souza Machado AA, Wood CM, Kloas W (2019) Novel concepts for novel entities: updating ecotoxicology for a sustainable anthropocene. Environ Sci Technol 53(9):4680–4682.

    Article  CAS  Google Scholar 

  10. Du S, Zhu R, Cai Y, Xu N, Yap P-S, Zhang Y, He Y, Zhang Y (2021) Environmental fate and impacts of microplastics in aquatic ecosystems: a review. RSC Adv 11(26):15762–15784.

    Article  CAS  Google Scholar 

  11. Galloway TS, Cole M, Lewis C (2017) Interactions of microplastic debris throughout the marine ecosystem. Nature Ecol Evol 1(5):0116.

    Article  Google Scholar 

  12. Gigault J, El Hadri H, Nguyen B, Grassl B, Rowenczyk L, Tufenkji N, Feng S, Wiesner M (2021) Nanoplastics are neither microplastics nor engineered nanoparticles. Nat Nanotechnol 16(5):501–507.

    Article  CAS  Google Scholar 

  13. Gonçalves AMM, Castro BB, Pardal MA, Gonçalves F (2007) Salinity effects on survival and life history of two freshwater cladocerans (Daphnia magna and Daphnia longispina). Ann Limnol - Int J Lim 43(1):13–20.

    Article  Google Scholar 

  14. Griebel J, Gießler S, Poxleitner M, Faria AN, Yin M, Wolinska J (2015) Extreme environments facilitate hybrid superiority—the story of a successful Daphnia galeata × longispina hybrid clone. PLoS ONE 10(10):e0140275

    Article  Google Scholar 

  15. Hartmann NB, Hüffer T, Thompson RC, Hassellöv M, Verschoor A, Daugaard AE, Rist S, Karlsson T, Brennholt N, Cole M, Herrling MP, Hess MC, Ivleva NP, Lusher AL, Wagner M (2019) Are we speaking the same language? recommendations for a definition and categorization framework for plastic debris. Environ Sci Technol 53(3):1039–1047.

    Article  CAS  Google Scholar 

  16. Heinlaan M, Kasemets K, Aruoja V, Blinova I, Bondarenko O, Lukjanova A, Khosrovyan A, Kurvet I, Pullerits M, Sihtmäe M, Vasiliev G, Vija H, Kahru A. (2020) Hazard evaluation of polystyrene nanoplastic with nine bioassays did not show particle-specific acute toxicity. Sci Total Environ. Mar 10;707:136073. Epub 2019 Dec 12. PMID: 31869615.

  17. Horton AA, Walton A, Spurgeon DJ, Lahive E, Svendsen C (2017) Microplastics in freshwater and terrestrial environments: Evaluating the current understanding to identify the knowledge gaps and future research priorities. Sci Total Environ 586:127–141.

    Article  CAS  Google Scholar 

  18. Imhof HK, Rusek J, Thiel M, Wolinska J, Laforsch C (2017) Do microplastic particles affect Daphnia magna at the morphological, life history and molecular level? PLos One 12(11):e0187590.

    Article  CAS  Google Scholar 

  19. Keller B, Wolinska J, Manca M, Spaak P (2008) Spatial, environmental and anthropogenic effects on the taxon composition of hybridizing Daphnia. Phil Trans Royal Soc Biol Sci 363(1505):2943–2952.

    Article  Google Scholar 

  20. Kögel T, Bjorøy Ø, Toto B, Bienfait AM, Sanden M (2020) Micro- and nanoplastic toxicity on aquatic life: determining factors. Sci Total Environ 709:136050.

    Article  CAS  Google Scholar 

  21. Ma X, Hu W, Smilauer P, Yin M, Wolinska J (2019) Daphnia galeata and D dentifera are geographically and ecologically separated whereas their hybrids occur in intermediate habitats a survey of 44 Chinese lakes. Mol Ecol.

    Article  Google Scholar 

  22. Manzi F, Agha R, Lu Y, Ben-Ami F, Wolinska J (2020) Temperature and host diet jointly influence the outcome of infection in a Daphnia-fungal parasite system. Freshwater Biol 65(4):757–767.

    Article  Google Scholar 

  23. Manzi F, Agha R, Lu Y, Ben-Ami F, Wolinska J (2019) Temperature and host diet jointly influence the outcome of infection in a Daphnia-fungal parasite system. Freshwater Biol 65(4):757

    Article  Google Scholar 

  24. Manzi F, Agha R, Mühlenhaupt M, Wolinska J (2022) Prior exposure of a fungal parasite to cyanobacterial extracts does not impair infection of its Daphnia host. Hydrobiologia 849(12):2731–2744.

    Article  CAS  Google Scholar 

  25. Mehinto AC, Coffin S, Koelmans AA, Brander SM, Wagner M, Thornton Hampton LM, Burton AG, Miller E, Gouin T, Weisberg SB, Rochman CM (2022) Risk-based management framework for microplastics in aquatic ecosystems. Microplastics and Nanoplastics 2(1):17.

    Article  Google Scholar 

  26. Monikh FA, Durão M, Kipriianov PV, Huuskonen H, Kekäläinen J, Uusi-Heikkilä S, Uurasjärvi E, Akkanen J, Kortet R (2022) Chemical composition and particle size influence the toxicity of nanoscale plastic debris and their co-occurring benzo(α)pyrene in the model aquatic organisms Daphnia magna and Danio rerio. NanoImpact 25:100382.

    Article  CAS  Google Scholar 

  27. Nations, U. (2011). Globally harmonized system of classification and labelling of chemicals (ghs) United Nations.

  28. OECD (2004) Test No 202 Daphnia sp. Acute Immobil Test.

    Article  Google Scholar 

  29. OECD. (2020). Guidance document on aquatic and sediment toxicological testing of nanomaterials. Paris

  30. Petrusek A, Hobæk A, Nilssen JP, Skage M, ČErný M, Brede N, Schwenk K (2008) A taxonomic reappraisal of the European Daphnia longispina complex (Crustacea, Cladocera, Anomopoda). Zool Scripta 37(5):507–519.

    Article  Google Scholar 

  31. Rist S, Baun A, Hartmann NB (2017) Ingestion of micro- and nanoplastics in Daphnia magna—Quantification of body burdens and assessment of feeding rates and reproduction. Environ Pollut. 228:398–407.

    Article  CAS  Google Scholar 

  32. Sadler DE, Brunner FS, Plaistow SJ (2019) Temperature and clone-dependent effects of microplastics on immunity and life history in Daphnia magna. Environ Pollut. 255:113178.

    Article  CAS  Google Scholar 

  33. Saebelfeld M, Minguez L, Griebel J, Gessner MO, Wolinska J (2017) Humic dissolved organic carbon drives oxidative stress and severe fitness impairments in Daphnia. Aquat Toxicol 182:31–38

    Article  CAS  Google Scholar 

  34. Samadi A, Kim Y, Lee SA, Kim YJ, Esterhuizen M (2022) Review on the ecotoxicological impacts of plastic pollution on the freshwater invertebrate Daphnia. Environ Toxicol 37(11):2615–2638.

    Article  CAS  Google Scholar 

  35. Schampera C, Wolinska J, Bachelier JB, de Souza Machado AA, Rosal R, González-Pleiter M, Agha R (2021) Exposure to nanoplastics affects the outcome of infectious disease in phytoplankton. Environ Pollut 277:116781.

    Article  CAS  Google Scholar 

  36. Schwarzer M, Brehm J, Vollmer M, Jasinski J, Xu C, Zainuddin S, Fröhlich T, Schott M, Greiner A, Scheibel T, Laforsch C (2022) Shape, size, and polymer dependent effects of microplastics on Daphnia magna. J Hazardous Mater 426:128136.

    Article  CAS  Google Scholar 

  37. Strebig, C. R. J. C. (2016). Analysis of dose-response curves. In (Version 3.0–1),

  38. Takeshita KM, Iwasaki Y, Sinclair TM, Hayashi TI, Naito W (2022) Illustrating a species sensitivity distribution for nano- and microplastic particles using bayesian hierarchical modeling. Environ Toxicol Chem 41(4):954–960.

    Article  CAS  Google Scholar 

  39. Team, R. C. (2022). R: A language and environment for statistical computing. . In R Foundation for Statistical Computing

  40. Wickham, H. (2016). ggplot2: Elegant graphics for data analysis. In. Springer-Verlag.

  41. Wilke, C O (2020). Cowplot streamlined plot theme and plot annotations for 'ggplot2. In (Version 1.1.1)

  42. Yang T, Nowack B (2020) A Meta-analysis of ecotoxicological hazard data for nanoplastics in marine and freshwater systems. Environ Toxicol Chem 39(12):2588–2598.

    Article  CAS  Google Scholar 

Download references


We thank Ursula Newen for support in the cultivation of Daphnia and PhDs and postdocs of Wolinska’s group for contributing ideas to this project during our regular lab meeting discussions.


Open Access funding enabled and organized by Projekt DEAL. This work was supported by the Dahlem Research School HONORS program, funded by Deutsche Forschungsgemeinschaft (Grant #0503131803), and the Erasmus Mundus Joint Doctorate Program SMART, funded by the EACEA of the European Union.

Author information

Authors and Affiliations



AASM Performed tests, analyzed & interpreted data, wrote the manuscript; NG performed tests, analyzed data, reviewed the manuscript; JW Performed tests, interpreted data, reviewed the manuscript.

Corresponding author

Correspondence to Anderson Abel de Souza Machado.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Souza Machado, A.A., Ghadernezhad, N. & Wolinska, J. Potential for high toxicity of polystyrene nanoplastics to the European Daphnia longispina. Environ Sci Eur 35, 78 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Genotype
  • Invertebrate EC50
  • Dose–response
  • Polystyrene
  • Microplastics